I love making complex things simple. Getting to the core. Cutting through noise to find what truly matters. As my teacher once said, “Half of solving a problem is formulating it correctly.” That principle shapes how I work and why I love what I do.
I began my career in IT as a Java developer, focused on clean, scalable code — but kept running into unclear requirements. I saw how misalignment between business and tech slowed everything down. So I became a Business Analyst to bridge that gap, learning to translate ideas into clear, structured specs.
That path led me into project management, where I took on more responsibility and earned my PMP. Along the way, I embraced Lean-Agile thinking, which reshaped how I approach collaboration, decision-making, and delivering value.
Today, as a Program Manager, I lead cross-functional teams from strategy to delivery — ensuring business goals and execution stay aligned, and helping teams do their best work together.

What drives me:
✅Clarity and purpose – I work best when the "why" is clear, and I stay focused on what brings real value.
✅Growth mindset – I push myself to keep learning, adapt fast, and turn feedback and failure into growth.
✅Integrity and empathy – I believe in doing the right thing, being transparent, and treating people with respect.
✅Collaboration – Great results come from great teamwork. I create space for others to contribute, speak up, and thrive.

I’m also someone who doesn’t give up easily. When I was a kid, I set a goal to learn how to ride a bike in one day. I fell a lot, scraped my knees — but by evening, I was riding. That same persistence, courage, and drive still guide me today.

📩 I will be happy to expand my network by connecting with fellow professionals and just anyone who is interested in my area of expertise. Please feel free to contact me here or at andrey.tsirukhin@gmail.com

Andrey Tsirukhin

AI is not only transforming technology but also how we think about data.
One key insight — centralized data models are becoming a bottleneck for AI adoption. While data is being consolidated, the business is losing time.
What I increasingly see in practice is a shift toward domain ownership and data mesh:
- data is closer to the business
- ownership is distributed across domains
- while shared standards and governance are maintained
This is not just about architecture — it’s about changing how teams think.
If companies want to truly scale AI, they need to rethink who owns the data and how it is used.

Andrey Tsirukhin, Ph.D.

Enterprise Program & Delivery Leader | $10M+ Digital Transformation | Governance-Driven Execution | AI & Data | $1M+ Cost Optimization

📰 𝗪𝗵𝘆 𝗔𝗜 𝗜𝘀 𝗣𝘂𝘀𝗵𝗶𝗻𝗴 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝘁𝗼 𝗥𝗲𝘁𝗵𝗶𝗻𝗸 𝗗𝗮𝘁𝗮 𝗢𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽

Our Head of Data & Analytics Lab Alexey Utkin, was featured in a piece by Informa TechTarget exploring how organizations are preparing their data for AI.

One of the key challenges highlighted is the growing mismatch between the speed of AI use cases and the limits of centralized data models. As Alexey notes, when data needs to be consolidated before it can be used, it slows everything down and becomes a bottleneck for teams trying to deliver results quickly.

The article looks at how more companies are shifting toward domain ownership and data mesh approaches, bringing data closer to the business while maintaining shared standards across the organization. This shift goes beyond technology and requires changes in how teams think about responsibility, collaboration, and governance.

Full article: https://lnkd.in/dDpr5k_S

TechTarget_Data Domain Ownership

I help solo founders and small teams selling project management education. I take your expert knowledge—your rough-draft outlines, voice notes, and scribbled docs—and turn it into sharp, lead-generating content. That includes ghostwritten LinkedIn posts, emails, and website copy that sounds like you on your best day.

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